Distinguished Engineer, Supply Chain Technology

Nike, Inc.•Beaverton, OR

64d

About The Position

We are looking for a Distinguished Engineer, who will be part of a team passionate about building and running all the technology applications that power supply chain operations for Nike. This is a critical senior technical leadership role that will own the transformation of applications that are critical for operating and growing Nike's business profitably. A successful candidate will be an engineering thought leader and coach with deep technical expertise and delivery experience in mentoring and coaching multiple engineering teams, including partner teams, to foster a collaborative and innovative engineering culture. They should be proficient in resolving technical, business, and organizational difficulties, facilitating learning and development within the organization, and creating links to strategic allies through technology and internal processes. The selected candidate for this role will have a consistent track record of driving change and transformation in delivering modern supply chain applications that leverage data, machine learning, and artificial intelligence to deliver global supply chain solutions that are highly accurate and extremely productive. The selected candidate will also have a track record in making strategic decisions on build/buy on all layers of supply chain applications (data foundations, decisioning models, simulation engines, and user experience).

Requirements

Bachelor's degree in computer science or related field. Will accept any suitable combination of education, experience and training.
15+ years software engineering experience as an individual contributor developing custom software using common systems like Java, Python, Rust, and/or JavaScript.
7+ years professional experience with AWS or other major cloud provider.
5+ years in a lead engineering role for building and maintaining supply chain applications in retail or adjacent industries. This should include scaled deployment of WMS and TMS.
7+ years experience in working with high-scale businesses with complex data infrastructure.
Engineering life-cycle management of software infrastructure.
Experience in working with a product-oriented culture.
Prior experience in working with engineering teams through major technology transitions.

Responsibilities

Lead engineering strategy and execution for our critical global supply chain applications including: Warehouse management solutions
Warehouse automaton solutions
Logistics Optimization - Inbound Transportation Management and Trade
Logistics Optimization - Outbound Transportation Management and Carrier integrations
Inventory availability and order fulfillment
Customer Order Management and return
Be the lead conduit to work with other engineering teams in GAME, ED&AI, ERP, and others to ensure our practices for integrations are modern, optimal, and sustainable.
Be the chief engineer in supply chain domains to ensure right choices are made on build/buy, design and engineering patterns, devops, and approach for AI/ML covering applications we buy/build and applications we integrate with.
Ensure that all applications in the supply chain domain have clearly defined and measurable metrics to cover all aspects of operations such as speed, resilience, cost, information security, and agility.
Lead feasibility analysis and serve as a technical leader for the most sophisticated multi-functional initiatives.
Lead the transition of existing infrastructure to cloud and edge environments, ensuring seamless migration and integration.
Quickly and deeply diagnose the most difficult technical issues in supply chain applications domain.
Develop technical roadmaps for supply chain applications, aligning with the strategic goals.
Mentor and coach engineers in best practices for cloud architecture, security, and performance.
Advise senior management and stakeholders on advanced/emerging technologies and their applications in software engineering, including data and AI/ML.
Establish best-practice software engineering methodologies for a global, 24x7, high-volume, high-availability, highly analytical, and critical production environment, based on metrics-based KPIs.